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Course Outline
Introduction to AI in Human Resources
- Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
- Common HR applications and areas of potential impact
- Evaluating organizational readiness and defining the scope for AI pilots
Responsible AI, Privacy, and Compliance in HR
- Fundamentals of data privacy and the handling of personal data within HR
- Addressing bias, fairness, and legal implications in recruitment and performance evaluation
- Establishing governance, approval processes, and documentation standards for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Iterating on prompts, validating outputs, and implementing human-in-the-loop verification
Automation and Process Design
- Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
- Overview of integration patterns with APIs and low-code tools
People Analytics and AI-Driven Decision Support
- Applying AI to workforce analytics, including attrition prediction, skills gap analysis, and learning recommendations
- Interpreting model outputs and effectively communicating insights to stakeholders
- Defining KPIs and measuring ROI for AI initiatives within HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and strategies for stakeholder engagement
- Planning pilots, defining rollout phases, and training HR teams
- Operational aspects including monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group activity: Identify a target problem, design a solution, and create associated prompts and workflows
- Presentations and peer reviews with feedback on ethical and operational aspects
- Defining next steps and utilizing templates for pilot implementation
Summary and Next Steps
Requirements
- Fundamental knowledge of HR processes and associated terminology
- Proficiency in using spreadsheets and web-based applications
- A keen interest in the practical and ethically conscious application of AI in HR
Target Audience
- HR Managers and HR Business Partners
- Professionals in Talent Acquisition and People Operations
- HR Analysts and People Analytics Practitioners
14 Hours
